Doc Edge

@DocEdge85

Postdoc at UC Davis. Incoming assistant prof. in quantitative and computational biology (starting 2020). Population genetics, statistics, music.

Vrijeme pridruživanja: studeni 2015.

Medijski sadržaj

  1. 29. pro 2019.

    sorry cutoff pic, here is the whole thing

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  2. 29. pro 2019.

    My parents just rolled up for a holiday visit, and my dad brought this unbelievable guitar that he *made for me with his bare hands*

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  3. 28. lis 2019.

    Darwin was the Kurgan the whole time

  4. 28. lis 2019.
    Odgovor korisnicima

    So our Fig4 is the place to look for this (c is assortative mating strength, and k is # of causal loci). One takeaway is that stronger assortment leads to slower breakdown of the trait/admixture correlation, particularly if # of causal loci is large.

  5. 23. lis 2019.

    1) GEDmatch will show an image indicating similarity between a pair of kits along each chromosome. If an adversary knows at what SNPs a kit is genotyped, then all their genotypes could be learned by comparing against a reference. (image from )

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  6. 23. lis 2019.

    (Thread) A number of people have asked about the vulnerabilities of particular services to the types of attack described by our preprint (, ), this table from Leah Larkin’s great blog post highlights some key parameters

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  7. 22. lis 2019.

    Luckily, all the attacks we describe are preventable, or at least can be made inefficient, if DTC services use a subset of the countermeasures we describe (17/n)

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  8. 22. lis 2019.

    You can use this to reveal genotypes at specified locations. Upload a dataset that’s mostly het, but put in homozygous genotypes at the sites you want to know. If a person in the database has the opposite homozygous genotype, the inferred related segment will break. (14/n)

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  9. 22. lis 2019.

    The idea is to fill in most of the uploaded genome with fake genotypes designed to match no one, so any people returned as matches will match the uploaded dataset at the site of interest. (10/n)

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  10. 22. lis 2019.

    We find that tiling works pretty well in a set of publicly available European genomes. (8/n)

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  11. 22. lis 2019.

    We explore three ways of doing this. We call the first “tiling,” and to do it, an adversary would just upload many genomes (e.g. publicly available ones) and keep track of their chromosomal matches with genomes in the database. (7/n)

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  12. 22. lis 2019.

    In this paper, we’re thinking about direct-to-consumer (DTC) genetic genealogy services that allow users to upload their own genetic datasets. Examples include GEDmatch, , , and . (3/n)

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  13. 18. kol 2019.
    Odgovor korisniku/ci
  14. 9. kol 2019.
    Odgovor korisniku/ci
  15. 9. kol 2019.
    Odgovor korisnicima
  16. 25. srp 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    with a Fistful of Stickles

  17. 26. lip 2019.

    Came back from to my copy of Glenn-Peter Saetre and 's new book. Nice broad coverage of evolutionary genetics, w/ impressive R resources to help students build intuition.

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  18. 25. lip 2019.

    Matt "No tweets" Osmond coming to our evolutionary rescue, riding out of the desert on a fine Arab charger

  19. 31. svi 2019.
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  20. 7. svi 2019.
    Odgovor korisniku/ci

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